European Institute, London School of Economics
The Problem
People see why climate matters generally, but not why it matters to them
Key Advantages:
H1: When compared with the control condition (information provision), interacting with the LLM will have a positive effect on all outcomes of interest: a) climate concern, b) policy support, c) pro-environmental behavior, d) conversation spillover, e) political spillover, and f) subjective climate beliefs.
H2: The personalized LLM interaction on climate change will be more persuasive/effective than the non-personalized LLM interaction and the basic information provision on all outcomes of interest.
H3: The personalized LLM interaction on climate change condition will be more persuasive/effective compared to the personalized AI interaction on an unrelated political topic.
Online Survey Experiment:
Participants are randomized into these conditions:
Control: Standard information provision about climate change
Non-Personalized AI: Generic LLM conversation about climate change
Personalized AI (Unrelated Topic): Personalised conversation about a political topic unrelated to climate change
Personalized AI (Climate): Personalised climate conversation about climate change:
Design Advantage
Pre-post measurement enables both within-subject change detection and between-group comparisons
Any Questions?